Imaging technology has transformed how we observe the universe—from mapping distant galaxies with radio telescope arrays to ...
YouTube announced in its latest blog post that users who stream videos on their platform via televisions and other larger screens are seeing five new features now, including the new Super Resolution ...
YouTube has announced that it will start using AI to upscale low-quality videos with a new “Super Resolution” feature coming soon. In a blog post today, YouTube announced a few new features coming to ...
Abstract: Hyperspectral image (HSI) super-resolution through the fusion of low-resolution HSI (LrHSI) and high-resolution multispectral image (HrMSI) has emerged as a critical technique for enhancing ...
The House of Representatives adopted a resolution to honor the "life and legacy" of late conservative activist Charlie Kirk on Friday, just over a week after he was shot and killed during a college ...
Abstract: Spectral super-resolution (SSR) is a key technology for generating high-spatial-resolution hyperspectral images (HSIs). However, deep learning approaches for SSR, especially generative ...
Scientists at the Center for Cell Dynamics, School of Biological and Behavioral Sciences, Queen Mary University of London, in collaboration with Carl Zeiss, have developed an innovative live-cell ...
AMD has officially enabled Stable Diffusion on its latest generation of Ryzen AI processors, bringing local generative AI image creation to systems equipped with XDNA 2 NPUs. The feature arrives ...
TL;DR: NVIDIA's DLSS 4 Super Resolution, now officially released, uses an advanced Transformer model for superior AI upscaling with sharper image quality across RTX 20, 30, 40, and 50 Series GPUs.
TL;DR: NVIDIA's DLSS 4 introduces a Transformer-based Super Resolution AI, delivering sharper, faster upscaling with reduced latency on GeForce RTX 50 Series GPUs. Exiting Beta, DLSS 4 enhances image ...
# create virtual environment conda create -n DifIISR python=3.10 conda activate DifIISR # install requirements pip install -r requirements.txt ...
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